Classification of stance towards a target on Twitter has been addressed in SemEval-2016 task 6 [1]}. Task A had to determine the stance of tweets towards five targets as `favor', `against' or `none'. Task B tested stance detection towards an unlabelled target, which required a weakly supervised or unsupervised approach. The dataset of this competition was not related to rumours or breaking news, it only considered a 3-way classification and did not provide any relations between tweets, which were treated as individual instances.
